Pub Date : 2019-11-01DOI: 10.1109/ICECIE47765.2019.8974728
S. Kanagalakshmi, S. Mageshwari, Ajeet Kumar
The renewable centred power generation grows rapidly as nation modernizes and solar plays vital role here. As PV generation is highly dominated by its atmospheric conditions, an MPPT technique is looked for efficient power generation. In this proposed scheme, P&O based MPPT technique is chosen to track the maximum power point. In this paper, a control strategy is proposed for inverters of single phase grid connected PV system. Voltage and Current control of grid tied with PV inverter is included in this control technique. The frequency and amplitude of the output voltage is controlled by grid in grid connected mode and current controlled mode is preferred for PV inverter operation. The PV inverter generates excess energy is supplied to the grid in light loaded condition and both PV inverter and the grid met the load demand in overloaded conditions (critical atmospheric conditions) in the current controller for grid connected mode. A phase locked loop (PLL) based on dual transport delay is mainly for synchronizing the PV inverter and the grid. This proposed strategy is verified by using Matlab/Simulink software.
{"title":"Design of Control Strategy of DC/AC Converter for Grid Connected PV System","authors":"S. Kanagalakshmi, S. Mageshwari, Ajeet Kumar","doi":"10.1109/ICECIE47765.2019.8974728","DOIUrl":"https://doi.org/10.1109/ICECIE47765.2019.8974728","url":null,"abstract":"The renewable centred power generation grows rapidly as nation modernizes and solar plays vital role here. As PV generation is highly dominated by its atmospheric conditions, an MPPT technique is looked for efficient power generation. In this proposed scheme, P&O based MPPT technique is chosen to track the maximum power point. In this paper, a control strategy is proposed for inverters of single phase grid connected PV system. Voltage and Current control of grid tied with PV inverter is included in this control technique. The frequency and amplitude of the output voltage is controlled by grid in grid connected mode and current controlled mode is preferred for PV inverter operation. The PV inverter generates excess energy is supplied to the grid in light loaded condition and both PV inverter and the grid met the load demand in overloaded conditions (critical atmospheric conditions) in the current controller for grid connected mode. A phase locked loop (PLL) based on dual transport delay is mainly for synchronizing the PV inverter and the grid. This proposed strategy is verified by using Matlab/Simulink software.","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133956836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICECIE47765.2019.8974796
Saumya Srivastava, R. Maiti
Lane detection is the active research area in the field of Advanced driver assistance system (ADAS) and autonomous vehicle. However, it is not easy to detect lane accurately when road lanes are affected by occlusion, weather conditions and illumination variations. In this paper, we propose a multi-lane detection robust to complex illumination variations and noise sources. The first step of this method is to generate adaptive Region of Interest (ROI) by using the combination of Hough lines and vanishing point. To improve the accuracy vanishing point detection, noise removal method is employed. Second, mask is generated to extract the road boundary region, which will be used as a search space for the detection of candidate lane mark points present on the road. Outlying points in mask generation process is eliminated using Density-Based Spatial Clustering of Applications with Noise (DBSCAN). Finally, lane is detected by fitting second order polynomial curve on extracted lane mark points by using Random Sample Consensus (RANSAC). Experiment results on the dataset shows that proposed method efficiently extracts lane features and detects the multi-lane in real world driving scenarios under various complex illumination variations and noise sources.
{"title":"Multi-lane Detection Robust to Complex Illumination Variations and Noise Sources","authors":"Saumya Srivastava, R. Maiti","doi":"10.1109/ICECIE47765.2019.8974796","DOIUrl":"https://doi.org/10.1109/ICECIE47765.2019.8974796","url":null,"abstract":"Lane detection is the active research area in the field of Advanced driver assistance system (ADAS) and autonomous vehicle. However, it is not easy to detect lane accurately when road lanes are affected by occlusion, weather conditions and illumination variations. In this paper, we propose a multi-lane detection robust to complex illumination variations and noise sources. The first step of this method is to generate adaptive Region of Interest (ROI) by using the combination of Hough lines and vanishing point. To improve the accuracy vanishing point detection, noise removal method is employed. Second, mask is generated to extract the road boundary region, which will be used as a search space for the detection of candidate lane mark points present on the road. Outlying points in mask generation process is eliminated using Density-Based Spatial Clustering of Applications with Noise (DBSCAN). Finally, lane is detected by fitting second order polynomial curve on extracted lane mark points by using Random Sample Consensus (RANSAC). Experiment results on the dataset shows that proposed method efficiently extracts lane features and detects the multi-lane in real world driving scenarios under various complex illumination variations and noise sources.","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121248827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICECIE47765.2019.8974824
Nian Chi Tay, C. Tee, T. Ong, Pin Shen Teh
There is a rising trend of security issues in our society nowadays. Every now and then, there are news such as robberies, fighting or terrorism around the world. Hence, some robust measurements need to be done to ensure public safety. This is when computer vision techniques come into play. Conventional surveillance cameras lack the capability of autonomously detecting abnormal behaviors in footages, and hence the determination of abnormal activities is solely dependent on human judgement. There is no absolute meaning of what abnormal behavior is, it depends on the settings. For example, fighting in a martial art class is a normal behavior, however if there is fighting in a bank, it is considered as abnormal behavior. In this study, we focus on two scopes: two-persons interactions and crowd-based interactions. Our Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) with attention mechanism model can automatically extract the important features from the video frames and interpret the temporal information between the video sequences. Different from the typical neural networks, our model includes attention mechanism that focuses on salient part of human action. Five benchmark datasets are used to validate the performance of the proposed model.
{"title":"Abnormal Behavior Recognition using CNN-LSTM with Attention Mechanism","authors":"Nian Chi Tay, C. Tee, T. Ong, Pin Shen Teh","doi":"10.1109/ICECIE47765.2019.8974824","DOIUrl":"https://doi.org/10.1109/ICECIE47765.2019.8974824","url":null,"abstract":"There is a rising trend of security issues in our society nowadays. Every now and then, there are news such as robberies, fighting or terrorism around the world. Hence, some robust measurements need to be done to ensure public safety. This is when computer vision techniques come into play. Conventional surveillance cameras lack the capability of autonomously detecting abnormal behaviors in footages, and hence the determination of abnormal activities is solely dependent on human judgement. There is no absolute meaning of what abnormal behavior is, it depends on the settings. For example, fighting in a martial art class is a normal behavior, however if there is fighting in a bank, it is considered as abnormal behavior. In this study, we focus on two scopes: two-persons interactions and crowd-based interactions. Our Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) with attention mechanism model can automatically extract the important features from the video frames and interpret the temporal information between the video sequences. Different from the typical neural networks, our model includes attention mechanism that focuses on salient part of human action. Five benchmark datasets are used to validate the performance of the proposed model.","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128936816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICECIE47765.2019.8974772
Sarah Bahanshal, Hibatallah Alwazani, M. Majid
Lighting, and communication are the pillars of modern technology, the combination of which creates what is called smart lighting. This paper designs and implements red, green, and blue (RGB) laser diode drivers (LDDs) to be used in tandem and appropriately diffused, for the operation of white laser-based light. The resulting white light from the laser diodes is subsequently used in smart lighting systems, in which it couples as a transmitter in a visible light communication system, or Light Fidelity (Li-Fi); the sensitivity of this application creates the absolute must for efficient LDDs. First, the driver circuits are simulated in Multisim software according to the specifications of the laser diodes. The custom LDDs adjusts with an internal feedback system for current regulation and considers transient and electrostatic discharge protection. This project contributes massively to the next future groundbreaking advancement in technology of faster data transmission via Light-Fidelity, as the theoretical optical channel is mature, but the microelectronics aspect, which we tackle, is a hurdle. In order to demonstrate Visible Light Communication, the driver circuits are designed with a modulation capability for a suitable OOK modulation of the lasers at the transmitter side. Furthermore, a receiver circuit consisting of an LDR is utilized for efficient decoding of the received pulses. The transmitter and receiver are systemized with a user-friendly graphical user interface.
{"title":"Design of RGB Laser Diode Drivers for Smart Lighting and Li-Fi using MATLAB GUI","authors":"Sarah Bahanshal, Hibatallah Alwazani, M. Majid","doi":"10.1109/ICECIE47765.2019.8974772","DOIUrl":"https://doi.org/10.1109/ICECIE47765.2019.8974772","url":null,"abstract":"Lighting, and communication are the pillars of modern technology, the combination of which creates what is called smart lighting. This paper designs and implements red, green, and blue (RGB) laser diode drivers (LDDs) to be used in tandem and appropriately diffused, for the operation of white laser-based light. The resulting white light from the laser diodes is subsequently used in smart lighting systems, in which it couples as a transmitter in a visible light communication system, or Light Fidelity (Li-Fi); the sensitivity of this application creates the absolute must for efficient LDDs. First, the driver circuits are simulated in Multisim software according to the specifications of the laser diodes. The custom LDDs adjusts with an internal feedback system for current regulation and considers transient and electrostatic discharge protection. This project contributes massively to the next future groundbreaking advancement in technology of faster data transmission via Light-Fidelity, as the theoretical optical channel is mature, but the microelectronics aspect, which we tackle, is a hurdle. In order to demonstrate Visible Light Communication, the driver circuits are designed with a modulation capability for a suitable OOK modulation of the lasers at the transmitter side. Furthermore, a receiver circuit consisting of an LDR is utilized for efficient decoding of the received pulses. The transmitter and receiver are systemized with a user-friendly graphical user interface.","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132563963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-11-01DOI: 10.1109/ICECIE47765.2019.8974759
P. S. R. Nayak, G. Peddanna, K. Kamalapathi, B. K. Naick
Wireless Power Transfer (WPT) techniques in battery charging are recent trends to transfer energy from power source to load without physical connections. It is an efficient approach to design of electrical system where wired connections are inconvenient, risky or are not viable. For designing the WPT system, the mutual inductance (MI) of the coupled coils and structure of the coil are important one and also both are playing vital role to achieve more power transfer capacity and efficiency. This paper presents computing the mutual inductance and coupling coefficient between the coupled coils with different misalignment in air cored and ferrite cored using Finite Element Modeling (FEM). Hence, researchers can design WPT system effectively for dynamic EV battery charging application.
{"title":"Analysis of Mutual Inductance Between Multi-Single Coupled Coils at Square Structure Using FEM","authors":"P. S. R. Nayak, G. Peddanna, K. Kamalapathi, B. K. Naick","doi":"10.1109/ICECIE47765.2019.8974759","DOIUrl":"https://doi.org/10.1109/ICECIE47765.2019.8974759","url":null,"abstract":"Wireless Power Transfer (WPT) techniques in battery charging are recent trends to transfer energy from power source to load without physical connections. It is an efficient approach to design of electrical system where wired connections are inconvenient, risky or are not viable. For designing the WPT system, the mutual inductance (MI) of the coupled coils and structure of the coil are important one and also both are playing vital role to achieve more power transfer capacity and efficiency. This paper presents computing the mutual inductance and coupling coefficient between the coupled coils with different misalignment in air cored and ferrite cored using Finite Element Modeling (FEM). Hence, researchers can design WPT system effectively for dynamic EV battery charging application.","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128457640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-17DOI: 10.1109/ICECIE47765.2019.8974715
Lukas Kölsch, Kirtan Bhatt, Stefan Krebs, S. Hohmann
We present a distributed and price-based control approach for frequency regulation in power grids with nonzero line conductances. Both grid and controller are modeled as a port-Hamiltonian system, where the grid model consists of differential as well as algebraic equations. Simulations show that the resulting controller asymptotically stabilizes the frequency while maintaining minimum overall generation costs in steady state and being robust in terms of clock drifts and uncontrollable loads. Moreover, it is shown that active power sharing can be achieved by an appropriate choice of the cost function.
{"title":"Steady-State Optimal Frequency Control for Lossy Power Grids with Distributed Communication","authors":"Lukas Kölsch, Kirtan Bhatt, Stefan Krebs, S. Hohmann","doi":"10.1109/ICECIE47765.2019.8974715","DOIUrl":"https://doi.org/10.1109/ICECIE47765.2019.8974715","url":null,"abstract":"We present a distributed and price-based control approach for frequency regulation in power grids with nonzero line conductances. Both grid and controller are modeled as a port-Hamiltonian system, where the grid model consists of differential as well as algebraic equations. Simulations show that the resulting controller asymptotically stabilizes the frequency while maintaining minimum overall generation costs in steady state and being robust in terms of clock drifts and uncontrollable loads. Moreover, it is shown that active power sharing can be achieved by an appropriate choice of the cost function.","PeriodicalId":154051,"journal":{"name":"2019 1st International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127272681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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